Abstract
<p class="first" id="d4450929e44">Although many diseases primarily affect the lungs, most of these diseases also involve other organ systems. Moreover, current diagnostic categories for complex lung diseases include heterogeneous syndromes rather than distinct pathobiological processes. Large-scale genome-wide association studies (GWAS) in many thousands of COPD cases and control subjects have identified more than 80 genomic regions that contain COPD susceptibility genes. Combining statistical fine mapping and open chromatin assays has enabled the identification of some of the functional variants within these GWAS loci. Although genetic association studies have provided important insights into many complex diseases, single genetic variants are unlikely to explain complex diseases, because perturbations of biological networks, not isolated genes, confer disease risk. Using protein-protein interaction network analysis, we have identified a biological connection between two COPD GWAS genes, <i>FAM13A</i> and <i>TGFB2</i>. Different Omics data types provide complementary information about complex diseases. When analyzed within a network context, multiple Omics data has the potential to provide new insights into the pathogenesis and heterogeneity of complex lung diseases.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
